[SPARK-8054] [mllib] Added several Java-friendly APIs + unit tests #6562
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…xture, LDA, StreamingKMeans, Statistics.corr, params
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Test build #33926 has finished for PR 6562 at commit
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Test build #33941 has finished for PR 6562 at commit
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test this please |
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Test build #33952 has finished for PR 6562 at commit
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| @@ -190,6 +186,7 @@ class DoubleParam(parent: String, name: String, doc: String, isValid: Double => | |||
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| def this(parent: Identifiable, name: String, doc: String) = this(parent.uid, name, doc) | |||
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| /** Creates a param pair with the given value (for Java). */ | |||
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Interesting, it doesn't inherit the parent doc.
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LGTM pending Jenkins. |
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Test build #34005 has finished for PR 6562 at commit
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streaming failure |
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Test build #872 has finished for PR 6562 at commit
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jkbradley
changed the title
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I'll merge this with master |
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Nevermind, I'll just wait until 1.4 is out so that I can then include it for 1.4.1 |
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@jkbradley If we want to include it in 1.4.1, we can merge it into branch-1.4 now and set the fix version to 1.4.1 and 1.5.0. If RC4 doesn't pass the vote, @pwendell will find those JIRAs and set the fix version back to 1.4.0. |
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Oh OK sounds good. I'll merge it with master and branch-1.4 then |
asfgit
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Jun 3, 2015
Java-friendly APIs added: * GaussianMixture.run() * GaussianMixtureModel.predict() * DistributedLDAModel.javaTopicDistributions() * StreamingKMeans: trainOn, predictOn, predictOnValues * Statistics.corr * params * added doc to w() since Java docs do not inherit doc * removed non-Java-friendly w() from StringArrayParam and DoubleArrayParam * made DoubleArrayParam Java-friendly w() actually Java-friendly I generated the doc and verified all changes. CC: mengxr Author: Joseph K. Bradley <[email protected]> Closes #6562 from jkbradley/java-api-1.4 and squashes the following commits: c16821b [Joseph K. Bradley] Small fixes based on code review. d955581 [Joseph K. Bradley] unit test fixes 29b6b0d [Joseph K. Bradley] small fixes fe6dcfe [Joseph K. Bradley] Added several Java-friendly APIs + unit tests: NaiveBayes, GaussianMixture, LDA, StreamingKMeans, Statistics.corr, params (cherry picked from commit 20a26b5) Signed-off-by: Joseph K. Bradley <[email protected]>
jeanlyn
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Jun 12, 2015
Java-friendly APIs added: * GaussianMixture.run() * GaussianMixtureModel.predict() * DistributedLDAModel.javaTopicDistributions() * StreamingKMeans: trainOn, predictOn, predictOnValues * Statistics.corr * params * added doc to w() since Java docs do not inherit doc * removed non-Java-friendly w() from StringArrayParam and DoubleArrayParam * made DoubleArrayParam Java-friendly w() actually Java-friendly I generated the doc and verified all changes. CC: mengxr Author: Joseph K. Bradley <[email protected]> Closes apache#6562 from jkbradley/java-api-1.4 and squashes the following commits: c16821b [Joseph K. Bradley] Small fixes based on code review. d955581 [Joseph K. Bradley] unit test fixes 29b6b0d [Joseph K. Bradley] small fixes fe6dcfe [Joseph K. Bradley] Added several Java-friendly APIs + unit tests: NaiveBayes, GaussianMixture, LDA, StreamingKMeans, Statistics.corr, params
nemccarthy
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Jun 19, 2015
Java-friendly APIs added: * GaussianMixture.run() * GaussianMixtureModel.predict() * DistributedLDAModel.javaTopicDistributions() * StreamingKMeans: trainOn, predictOn, predictOnValues * Statistics.corr * params * added doc to w() since Java docs do not inherit doc * removed non-Java-friendly w() from StringArrayParam and DoubleArrayParam * made DoubleArrayParam Java-friendly w() actually Java-friendly I generated the doc and verified all changes. CC: mengxr Author: Joseph K. Bradley <[email protected]> Closes apache#6562 from jkbradley/java-api-1.4 and squashes the following commits: c16821b [Joseph K. Bradley] Small fixes based on code review. d955581 [Joseph K. Bradley] unit test fixes 29b6b0d [Joseph K. Bradley] small fixes fe6dcfe [Joseph K. Bradley] Added several Java-friendly APIs + unit tests: NaiveBayes, GaussianMixture, LDA, StreamingKMeans, Statistics.corr, params
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Java-friendly APIs added:
I generated the doc and verified all changes.
CC: @mengxr